Staff Machine Learning Engineer, Workiva

• If you thrive at the intersection of systems, data, and AI—and want to build real-world, user-facing solutions that make a difference, we’d love to connect. Explore the possibilities of Workiva’s Generative AI at Workiva and join us in pushing the boundaries of enterprise AI
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (advanced degrees welcome)
• 4+ years of experience in machine learning engineering or related software roles
• Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements

Desirable

• We're looking for a Staff Machine Learning Engineer to help lead the development of advanced AI systems at Workiva. In this role, you'll drive the design and implementation of intelligent infrastructure and agentic architectures—powering scalable, production-ready applications of LLMs and Generative AI across our platform
• As a technical leader, you'll work cross-functionally to solve complex engineering challenges, from fine-tuning models to deploying distributed systems that support the full ML lifecycle. You’ll mentor others, shape architectural decisions, and play a key role in translating cutting-edge research into high-impact product capabilities
• Fine-tune large language models (open-source and commercial) to detect patterns, headers, and the hidden logic buried in real-world spreadsheets
• Design autonomous and semi-autonomous agents that can plan, reason, and adapt—until even the nastiest cell is understood
• Pair-program with product, platform, and design teammates—no silos here. You’ll work across the stack, and across ideas
• Run experiments, measure quality, and collaborate closely with the team to improve model performance—especially when tackling the toughest, most tangled spreadsheets